Abstract
This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.
Original language | English |
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Title of host publication | ECIS 2017 Proceedings |
Number of pages | 10 |
Place of Publication | Atlanta, GA |
Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
Publication date | 2017 |
Pages | 2918-2927 |
ISBN (Print) | 978989207655 |
ISBN (Electronic) | 9780991556700 |
Publication status | Published - 2017 |
Event | 25th European Conference on Information Systems, ECIS 2017 - Centro Cultural Vila Flor, Guimarães, Portugal Duration: 5 Jun 2017 → 10 Jun 2017 Conference number: 25 http://www.ecis2017.eu/ |
Conference
Conference | 25th European Conference on Information Systems, ECIS 2017 |
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Number | 25 |
Location | Centro Cultural Vila Flor |
Country/Territory | Portugal |
City | Guimarães |
Period | 05/06/2017 → 10/06/2017 |
Internet address |
Series | Proceedings of the European Conference on Information Systems |
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ISSN | 0000-0034 |
Keywords
- Sharing economy
- Trust-enhancing signals
- Price premium
- Discrete choice experiment